The frequency and percentage distribution turned that out of 60,975, there were 37,904 frequency or 62.16% lies within 16 to 64 male and 16 - 59 female age group bracket. This means that majority of the total population are not on the retirement age. However, there were 11,509 frequency or 18.87% lies along Under 16 age group bracket, and lastly 11,562 or 18.96% lies on 65m/60f/over age group bracket. This means that only twenty percent were on retiring age in Untied Kingdom and it also reveals that there is almost twenty percent of the United Kingdom population who are young.
Figure 1, or the first line graph presented in the appendix, 11728 out of 60975 belong to 45-59 age group bracket. This implies that this population though is quite near the retirement age. This is alarming, and may signal that something must be done in preparation for the coming year. Also, notable is that this is followed by age group bracket of 35-44 with 9248 which is very near the highest age group (45-59). On the other hand, the population distribution from 5-59 is very huge as compared to the age group 60 -94 which is very minimal. This implies that there was an increase in population, but there must be continuity to avoid having periods where most people are within or near to retirement.
It can be seen in table 3 the comparison of male and female population in United Kingdom using analysis of variance (ANOVA) that there is a significant difference between the male to the female population in United Kingdom. This is because the result of the "Analysis of Variance" (ANOVA) shows that the computed F (1244.796) is greater than the tabular values of F-statistics (239) at 0.05 degree of freedom (1, 8). This was formulated by simply using 0.05 level of significance, F-statistics, and an Analysis of variance (ANOVA) test, it was established that the df num value is k-1, or 2 -1, or 1 and the df den value is T-k, or 10 - 2, or 8. So, with = 0.05, the critical value of F in this analysis of variance test was F0.05 (1, 8) = 239. Since computed F (FC) is greater than Tabulated F (FT), Ho is rejected.
Table 4 in the appendix shows the correlation of the male and female population in United Kingdom using coefficient of determination (R2) which reveals that the resultant R Square 0.993614286 is very close to 1 which means that the correlation is near normal curve distribution, so, it is interpreted as very high correlation. Thus, in percentile (%), 99.3614286 is an indicator of significant relationship between the male and female population in United Kingdom. Finally, the R square of 0.993614286 is very close to the adjusted R square 0.8686121286. This means that the regression model fits the data very well.
Furthermore, figure 2 which also in the appendix show the correlation between males and females in 2006. It is been found that this is almost along perfect positive correlation which means the proportionality of the males and females in the United Kingdom 2006 has significant effect on each other. This also means that in every increase in female population there was also an increase in male population. This means that the population by gender is of the same age group distribution in the United Kingdom.
These data which was sourced from the National Statistics Office of the United Kingdom